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bert-base-uncased-sports – AI Model by amanm27 | AlphaNeural AI
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amanm27
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bert-base-uncased-sports
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transformers
pytorch
tensorboard
bert
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-sports
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0064
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
2.4926
1.0
912
2.1186
2.2168
2.0
1824
2.0392
2.1327
3.0
2736
2.0081
Framework versions
Transformers 4.16.2
Pytorch 1.10.0
Datasets 1.18.3
Tokenizers 0.11.0
